Source: aws.amazon.com
Extract Insights From Customer Conversations with Amazon Transcribe Call AnCategory: Business, github, automation, artificial-intelligence
In 2017, we launched Amazon Transcribe, an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to any application. Today, I’m very happy to announce the availability of Amazon Transcribe Call Analytics, a new feature that lets you easily extract valuable insights from customer conversations with a single API call.
Introducing Amazon Transcribe Call Analytics Based on ASR implemented in Transcribe, Transcribe Call Analytics adds natural language processing (NLP) capabilities specifically trained on customer calls, and optimized to provide highly accurate call transcripts and actionable insights.
Key features of Transcribe Call Analytics include: For example, you can create rules to flag calls where customers interrupt the agent, exhibit negative sentiment, and say “I want to speak with the manager”.
With the launch of Amazon Transcribe Call Analytics, we’re excited to add even more AI capabilities to our Speech Analytics and QM Assist products.
Introducing Amazon Transcribe Call Analytics Based on ASR implemented in Transcribe, Transcribe Call Analytics adds natural language processing (NLP) capabilities specifically trained on customer calls, and optimized to provide highly accurate call transcripts and actionable insights.
Key features of Transcribe Call Analytics include: For example, you can create rules to flag calls where customers interrupt the agent, exhibit negative sentiment, and say “I want to speak with the manager”.
With the launch of Amazon Transcribe Call Analytics, we’re excited to add even more AI capabilities to our Speech Analytics and QM Assist products.
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